
AI Agents
Contextual, Multimodal Intelligence in the Loop
AI agents serve as the intelligent bridge between natural human communication and structured backend systems.
Key Capabilities
Natural Language Understanding
- Parse unstructured requests into actionable intents
- No need for users to remember exact commands
- Ask clarifying questions when needed
Contextual Awareness
- Maintain memory of previous interactions
- Connect related questions and commands
- Support multi-turn dialogues to complete tasks
Multimodal Processing
- Transcribe voice messages to text
- Analyze images and screenshots
- Extract data from documents
- Process video inputs for real-time guidance
Intelligent Decision-Making
- Apply reasoning to choose appropriate actions
- Validate requests against permissions and policies
- Provide explanations for recommendations
- Learn from interactions to improve over time
Example Use Case
A technician sends a picture of equipment via WhatsApp → AI agent identifies the component, checks inventory status, and provides troubleshooting steps or automatically initiates replacement order